10 general skills or competencies (Job family competencies) for Data Science Director
Skill definition-Collecting, analyzing, and interpreting a large amount of data to uncover information to help organizations make informed business decisions.
Level 1 Behaviors
(General Familiarity)
Cites examples of the different methods used in big data analytics.
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Level 2 Behaviors
(Light Experience)
Compiles report on the results of big data analytics and presents to the management.
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Level 3 Behaviors
(Moderate Experience)
Contributes to the development of tools and data models for big data analytics platforms.
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Level 4 Behaviors
(Extensive Experience)
Drives big data and predictive analytics development to optimize product performance.
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Level 5 Behaviors
(Mastery)
Champions the adoption of advanced software to support the management and processing of data sets.
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Skill definition-Evaluating business data, translating it to actionable insights, and using it to make better-informed decisions.
Level 1 Behaviors
(General Familiarity)
Compiles a list of the basic processes to navigate business intelligence dashboards and tools.
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Level 2 Behaviors
(Light Experience)
Assists in developing enterprise business intelligence applications to collect large amounts of data.
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Level 3 Behaviors
(Moderate Experience)
Implements complex analysis solutions to support the business intelligence environment.
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Level 4 Behaviors
(Extensive Experience)
Aligns the business capability requirements to the business intelligence and data strategy roadmaps.
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Level 5 Behaviors
(Mastery)
Champions the adoption of advanced business intelligence tools to promote the data dissemination process.
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10 soft skills or competencies (core competencies) for Data Science Director
Skill definition-Insight into our organization's business, goals, and values. Ability to design and implement initiatives that facilitate successful outcomes.
Level 1 Behaviors
(General Familiarity)
Describes how our business makes money and our key business objectives.
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Level 2 Behaviors
(Light Experience)
Assists in designing business models and operating plans.
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Level 3 Behaviors
(Moderate Experience)
Applies technical expertise, business sense, and product knowledge to manage the product lifecycle effectively.
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Level 4 Behaviors
(Extensive Experience)
Coordinates technical and business teams to solve complex and diverse customer problems.
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Level 5 Behaviors
(Mastery)
Builds strong business partnerships internally and externally to drive "win-win" business successes.
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Skill definition-Applying advisory methods to deliver solutions for internal or external clients' technology needs.
Level 1 Behaviors
(General Familiarity)
Cites the commonly used technology advising tools in our workplace.
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Level 2 Behaviors
(Light Experience)
Advises clients regarding the products, technologies and services based on their business needs.
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Level 3 Behaviors
(Moderate Experience)
Effectively conveys technology concepts and business impacts to senior client levels.
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Level 4 Behaviors
(Extensive Experience)
Delivers training on procedures for conducting technology advising in our workplace.
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Level 5 Behaviors
(Mastery)
Adapts the latest trends in processes and computer skills relevant to technology advising.
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Summary of Data Science Director skills and competencies
There are 0 hard skills for Data Science Director.
10 general skills for Data Science Director, Big Data Analytics, Business Intelligence, Data Analytics, etc.
10 soft skills for Data Science Director, Business Acumen, Technology Advising, Planning and Organizing, etc.
While the list totals 20 distinct skills, it's important to note that not all are required to be mastered to the same degree. Some skills may only need a basic understanding, whereas others demand a higher level of expertise.
For instance, as a Data Science Director, he or she needs to be skilled in Business Acumen, be skilled in Technology Advising, and be an expert in Planning and Organizing.